code: def forward(self, input):
      return SSHENeuralNetworkAggregatorFunction.apply(
          input, self.aggregator
      )
  
imports: import typing
  from typing import Any, Iterator
  import torch
  from torch.nn import Parameter
  from fate.arch.context import Context
  from fate.arch.protocol.mpc.common.encoding import IgnoreEncodings
  from fate.arch.protocol.mpc.mpc import FixedPointEncoder
  from fate.arch.trace import auto_trace
label_desc: Use image node_id 3 for calling the SSHENeuralNetworkAggregatorLayer obj's underlying member method code with example usage: obj.forward(input) and returns: SSHENeuralNetworkAggregatorFunction